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Paper Citation Record · LEDGER

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2406.06565.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.06565 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:34.192526Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-28T23:02:46.504962Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5bb5e92d-9583-499e-abeb-39b9c576a79d · inbound

Challenges in Trustworthy Human Evaluation of Chatbots cites this paper.

Challenges in Trustworthy Human Evaluation of Chatbots MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T21:35:10.148411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:35:10.148411Z digest=sha256:d636a95baaa8c5972bb2a955d3e5c709c1565334b595aa1c7cb6999e5706d262

Observation b1fd342f-1825-465d-aacd-248e310052f3 · inbound

C$^2$LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation cites this paper.

C$^2$LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:35.157549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:10:35.157549Z digest=sha256:5c6b26df4db2b6e3733acecdf44e8639b4574fd8dbd63aa67b8e3f23279974d3

Observation 082c3b24-4b68-4219-8160-83facebafea4 · inbound

Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference cites this paper.

Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:45.820775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:45.820775Z digest=sha256:3bcd97ebce87b7014b80b0898e5596fa22c4b716cb5182299d33ff334c5c21e9

Observation be3cb942-fb86-4ae2-9b9c-c642367a9f62 · inbound

Enhancing LLMs for Governance with Human Oversight: Evaluating and Aligning LLMs on Expert Classification of Climate Misinformation for Detecting False or Misleading Claims about Climate Change cites this paper.

Enhancing LLMs for Governance with Human Oversight: Evaluating and Aligning LLMs on Expert Classification of Climate Misinformation for Detecting False or Misleading Claims about Climate Change MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T15:39:33.154626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:39:33.154626Z digest=sha256:8bcf59fd70289b9b13b253b8b2753760a7e93b33b2df20c66d248bf786d6b4db

Observation ff803e47-8d9f-4f93-840e-4dd68681c9d5 · inbound

Tuning LLM Judge Design Decisions for 1/1000 of the Cost cites this paper.

Tuning LLM Judge Design Decisions for 1/1000 of the Cost MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:43.268780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:43.268780Z digest=sha256:38baf0ff19cce19c21ea0aa208881eb86a9d01d11dc622c212d0666c8f5e0ce4

Observation 6358db70-4ec3-4681-aa24-5c684c816f7e · inbound

How to Select Datapoints for Efficient Human Evaluation of NLG Models? cites this paper.

How to Select Datapoints for Efficient Human Evaluation of NLG Models? MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T00:15:07.772181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T00:15:07.772181Z digest=sha256:e4ee67086816cca10fe338b634bfd46cc0bac86a05a2f3ff59c70aed4f943111

Observation 9c174b93-ad88-4921-ba29-320fe7494e34 · inbound

WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training cites this paper.

WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 17

Resolution
malformed identifier
no resolver link, observed 2026-08-09T23:17:09.188169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:17:09.188169Z digest=sha256:3d09bf4604bf1f493b703cae56eb2ee652076a2aff1a508e44b90c899f6bd53f

Observation 7120ae5c-e864-4839-b264-e5eee69331c8 · inbound

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective cites this paper.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-09T04:08:51.755786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:08:51.755786Z digest=sha256:781b0df0c56e011e104cef65fd1fd82ea0d84fd628527366fef706df7c477cc6

Observation 31acb379-afae-4f1f-953f-aa1742758e0c · inbound

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research cites this paper.

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T20:51:34.192526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:34.192526Z digest=sha256:13e936aa37d2c06726b235f90d670f9608ef656d3d9159a025034962f8d81f0a

Observation 5c168072-8d54-4881-b6d9-30118242fd5f · inbound

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models cites this paper.

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T20:32:25.231127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:25.231127Z digest=sha256:4d8ec265d2f4eca9e5233ac677227887c2adc19024569325e8889259e6844855

Observation 77a84dd6-360f-48fe-af96-b2995dd82fd5 · inbound

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis cites this paper.

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:26.336265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:26.336265Z digest=sha256:d3da3ef4dfbbef15979d0b1db29c8b8a6a5a31fdded1e4e8bd899a65758e6ac8

Observation 2d8b17e7-3c82-493d-9fb2-3ca2bb6048a2 · inbound

Mellum2 Technical Report cites this paper.

Mellum2 Technical Report MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:46.506621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T22:58:35.397914Z digest=sha256:7d82b65721b5937406f0172f7983ebc2d73784b4f345290e286722362a225792